This Machine Learning Capstone course uses various Python-based machine learning libraries, such as Pandas, sci-kit-learn, and Tensorflow/Keras. You will also learn to apply your machine-learning skills and demonstrate your proficiency in them. Before taking this course, you must complete all the previous courses in the IBM Machine Learning Professional Certificate.
In this course, you will also learn to build a course recommender system, analyze course-related datasets, calculate cosine similarity, and create a similarity matrix. Additionally, you will generate recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering. Finally, you will share your work with peers and have them evaluate it, facilitating a collaborative learning experience.
KK
all is good but little diffuclt on seeing the videos and understand
DB
I learned so much by completing the machine learning capstone project. I encourage anyone who decides to take this course to explore the deeper nuances of each type of recommender system.
AB
It was really a quite informative and well planned course. Will continue to get more Professional Certificate from IBM related to ML-DL and Generative AI
SD
helpfull
GV
Amazing Project to work on and gain more knowledge of Machine Learning Techniques
BS
Really great course which combines informational videos with hands on labs. The projects at the end are great fun and an awesome way to apply what you've learnt during the course.
A
good for getting overview of different machine learning ways
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This was an interesting summary to the specialisation. It covered topics from each of the courses while covering one new topic - recommender systems. It's not substantial enough to stand on it's own as a course, but acts as a "final exam/coursework" for the machine learning specialisation.
I learned so much by completing the machine learning capstone project. I encourage anyone who decides to take this course to explore the deeper nuances of each type of recommender system.
Really great course which combines informational videos with hands on labs. The projects at the end are great fun and an awesome way to apply what you've learnt during the course.
There was a lot to learn, the videos were good, the labs worked well but it took a lot more time then was suggested.
Un curso excelente. Aborda muchos temas de interés en tema de ciencia de datos e IA. Recomendado
Amazing Project to work on and gain more knowledge of Machine Learning Techniques
good for getting overview of different machine learning ways
Fantastic recommendation system hands on capstone
Realtime Projects and Exploratory Analysis
give practical insights using Jupyter lab
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Very hands-on, I enjoyed
Cool it was interesting
yes yes yes yes yes
Curso maravilhoso
very challenging
Super beneficial
helpfully course
EXCELLENT COURSE
nice course